mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 30 May 2023

327 papers

  1. Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity RecognitionDiffusion models → Video generation
  2. Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial UsesLLM safety and security → Prompt injection and agent security
  3. Self-Verification Improves Few-Shot Clinical Information ExtractionLLM reasoning → Clinical and biomedical applications
  4. GPT4GEO: How a Language Model Sees the World's GeographyWorld models → World models for language agents
  5. ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context LearningLLM reasoning → Reasoning benchmarks and evaluation
  6. Are Large Kernels Better Teachers than Transformers for ConvNets?Knowledge distillation → General knowledge distillation methods
  7. Learning without Forgetting for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  8. The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of CodeLLM reasoning → Causal reasoning in LLMs
  9. Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion ModelsDiffusion models → Video generation
  10. Strategic Reasoning with Language ModelsLLM reasoning → Reasoning for agents, planning and code
  11. Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion ModelingDiffusion models → Image generation, text-to-image and editing
  12. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateLLM reasoning → Reasoning for agents, planning and code +1
  13. Diffusion Model for Dense MatchingDiffusion models → Diffusion foundations and sampling
  14. Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured DataOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  15. Nested Diffusion Processes for Anytime Image GenerationDiffusion models → Image generation, text-to-image and editing
  16. StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar GenerationDiffusion models → 3D, point cloud and scene generation
  17. ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  18. Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataDiffusion models → Medical imaging and segmentation
  19. Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic StructuresSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  20. AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot ManipulationLLM reasoning → Spatial and embodied reasoning
  21. What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?Offline RL and imitation learning from data → Diffusion and flow policies for offline RL
  22. Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and LearningLLM reasoning → Prompting and chain-of-thought reasoning
  23. DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  24. Scalable Performance Analysis for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  25. HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion GuidanceDiffusion models → 3D, point cloud and scene generation
  26. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionLLM agents and tool use → Tool learning and function calling +1
  27. Graph Reasoning for Question Answering with Triplet RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
  28. Generating Behaviorally Diverse Policies with Latent Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  29. Real-World Image Variation by Aligning Diffusion Inversion ChainDiffusion models → Image generation, text-to-image and editing
  30. Diffusion-Stego: Training-free Diffusion Generative Steganography via Message ProjectionDiffusion models → Robustness, privacy and adversarial aspects
  31. Towards Accurate Post-training Quantization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  32. Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts
  33. LayerDiffusion: Layered Controlled Image Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  34. SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video EditingDiffusion models → Video generation
  35. Likelihood-Based Diffusion Language ModelsDiffusion models → Discrete and text diffusion
  36. Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
  37. Dynamic Clustering Transformer Network for Point Cloud Segmentation
  38. Dark Web Activity Classification Using Deep Learning
  39. Utilizing Social Media Attributes for Enhanced Keyword Detection: An IDF-LDA Model Applied to Sina Weibo
  40. Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
  41. Predictive and diagnosis models of stroke from hemodynamic signal monitoring
  42. A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification
  43. Unified Information Dynamic Analysis of Quantum Decision-Making and Search Algorithms: Computational Intelligence Measure
  44. Conceptual Design Generation Using Large Language Models
  45. Towards Selection of Text-to-speech Data to Augment ASR Training
  46. Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling
  47. Disentangling and Operationalizing AI Fairness at LinkedIn
  48. Predicting Heart Disease and Reducing Survey Time Using Machine Learning Algorithms
  49. Explaining Hate Speech Classification with Model Agnostic Methods
  50. Utilization of Multinomial Naive Bayes Algorithm and Term Frequency Inverse Document Frequency (TF-IDF Vectorizer) in Checking the Credibility of News Tweet in the Philippines
  51. Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scale
  52. Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models
  53. GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
  54. PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
  55. Machine Learning Approach for Cancer Entities Association and Classification
  56. Graph Neural Network for spatiotemporal data: methods and applications
  57. Predicting protein stability changes under multiple amino acid substitutions using equivariant graph neural networks
  58. Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate Diffusion
  59. A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
  60. Implementation of a framework for deploying AI inference engines in FPGAs
  61. Dynamic Sparsity Is Channel-Level Sparsity Learner
  62. Best of Both Distortion Worlds
  63. Bigger, Better, Faster: Human-level Atari with human-level efficiency
  64. A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play
  65. OWAdapt: An adaptive loss function for deep learning using OWA operators
  66. SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
  67. Machine learning with tree tensor networks, CP rank constraints, and tensor dropout
  68. AdANNS: A Framework for Adaptive Semantic Search
  69. Adapting Fairness Interventions to Missing Values
  70. Evaluating geospatial context information for travel mode detection
  71. Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space
  72. Data and Knowledge for Overtaking Scenarios in Autonomous Driving
  73. What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
  74. Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques
  75. KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization
  76. Efficient Training of Energy-Based Models Using Jarzynski Equality
  77. Examining risks of racial biases in NLP tools for child protective services
  78. FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection
  79. PaintSeg: Training-free Segmentation via Painting
  80. Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
  81. Contextual Vision Transformers for Robust Representation Learning
  82. Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages
  83. DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
  84. Synaptic Weight Distributions Depend on the Geometry of Plasticity
  85. Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
  86. Quantum Natural Language Processing based Sentiment Analysis using lambeq Toolkit
  87. Benign Overfitting in Deep Neural Networks under Lazy Training
  88. Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction
  89. Compositional diversity in visual concept learning
  90. Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure
  91. Blockwise Parallel Transformer for Large Context Models
  92. The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
  93. Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
  94. Vision Transformers for Mobile Applications: A Short Survey
  95. Stable Anisotropic Regularization
  96. Uncovering multifunctional mechano-intelligence in and through phononic metastructures harnessing physical reservoir computing
  97. Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo
  98. Riemannian Projection-free Online Learning
  99. Machine Learning Based IoT Adaptive Architecture for Epilepsy Seizure Detection: Anatomy and Analysis
  100. infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
All 327
  1. Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning
  2. Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
  3. HiGen: Hierarchical Graph Generative Networks
  4. Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation
  5. Cones 2: Customizable Image Synthesis with Multiple Subjects
  6. SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
  7. A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
  8. Audio classification using ML methods
  9. MAGNet: Motif-Agnostic Generation of Molecules from Shapes
  10. Smooth, exact rotational symmetrization for deep learning on point clouds
  11. On the Choice of Perception Loss Function for Learned Video Compression
  12. Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
  13. Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction
  14. Concise Answers to Complex Questions: Summarization of Long-form Answers
  15. Make-A-Voice: Unified Voice Synthesis With Discrete Representation
  16. Intriguing Properties of Quantization at Scale
  17. Parallelized Acquisition for Active Learning using Monte Carlo Sampling
  18. Probabilistic computation and uncertainty quantification with emerging covariance
  19. Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
  20. On Convergence of Incremental Gradient for Non-Convex Smooth Functions
  21. Ambient Diffusion: Learning Clean Distributions from Corrupted Data
  22. A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem
  23. What Can We Learn from Unlearnable Datasets?
  24. Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
  25. AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation
  26. Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
  27. Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds
  28. NetHack is Hard to Hack
  29. Grammar Prompting for Domain-Specific Language Generation with Large Language Models
  30. Controlled Text Generation with Hidden Representation Transformations
  31. FedDisco: Federated Learning with Discrepancy-Aware Collaboration
  32. Unsupervised Melody-to-Lyric Generation
  33. Intent-aligned AI systems deplete human agency: the need for agency foundations research in AI safety
  34. Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
  35. Translation-Enhanced Multilingual Text-to-Image Generation
  36. dotears: Scalable, consistent DAG estimation using observational and interventional data
  37. Design and implementation of intelligent packet filtering in IoT microcontroller-based devices
  38. Solving Projected Model Counting by Utilizing Treewidth and its Limits
  39. COVID-19 Detection from Exhaled Breath
  40. Group Invariant Global Pooling
  41. Gradient descent in matrix factorization: Understanding large initialization
  42. AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
  43. SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages
  44. DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation
  45. PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
  46. FakeSwarm: Improving Fake News Detection with Swarming Characteristics
  47. Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
  48. Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
  49. Compression with Bayesian Implicit Neural Representations
  50. Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models
  51. Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
  52. Table Detection for Visually Rich Document Images
  53. Forward-Forward Training of an Optical Neural Network
  54. Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers
  55. LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  56. An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
  57. Cooperative Thresholded Lasso for Sparse Linear Bandit
  58. Recognizing People by Body Shape Using Deep Networks of Images and Words
  59. Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
  60. FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
  61. BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation
  62. A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models
  63. Taylorformer: Probabilistic Modelling for Random Processes including Time Series
  64. Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization
  65. Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks
  66. Graph Generation with K2-trees
  67. ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
  68. Comparing and combining some popular NER approaches on Biomedical tasks
  69. DENTEX: Dental Enumeration and Tooth Pathosis Detection Benchmark for Panoramic X-ray
  70. GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
  71. DisCLIP: Open-Vocabulary Referring Expression Generation
  72. Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
  73. Does Conceptual Representation Require Embodiment? Insights From Large Language Models
  74. Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
  75. A generalized framework to predict continuous scores from medical ordinal labels
  76. Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings
  77. TrueDeep: A systematic approach of crack detection with less data
  78. Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
  79. Embedding Inequalities for Barron-type Spaces
  80. Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
  81. DHRL-FNMR: An Intelligent Multicast Routing Approach Based on Deep Hierarchical Reinforcement Learning in SDN
  82. Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
  83. Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
  84. Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
  85. Multi-source adversarial transfer learning based on similar source domains with local features
  86. Template-free Articulated Neural Point Clouds for Reposable View Synthesis
  87. Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images
  88. Geometry-aware training of factorized layers in tensor Tucker format
  89. Towards single integrated spoofing-aware speaker verification embeddings
  90. Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie
  91. Exploring the Promise and Limits of Real-Time Recurrent Learning
  92. A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
  93. NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM
  94. Delayed Bandits: When Do Intermediate Observations Help?
  95. Solving Robust MDPs through No-Regret Dynamics
  96. Using Data Analytics to Derive Business Intelligence: A Case Study
  97. Event-Centric Query Expansion in Web Search
  98. An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnostics
  99. MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models
  100. Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
  101. Training a HyperDimensional Computing Classifier using a Threshold on its Confidence
  102. Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets
  103. High-probability sample complexities for policy evaluation with linear function approximation
  104. Independent Component Alignment for Multi-Task Learning
  105. GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation
  106. Toward Real-World Light Field Super-Resolution
  107. Generalized Autoregressive Score Trees and Forests
  108. A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation
  109. SO(2)-Equivariant Downwash Models for Close Proximity Flight
  110. Multi-modal Queried Object Detection in the Wild
  111. IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
  112. Cross Encoding as Augmentation: Towards Effective Educational Text Classification
  113. Voice Conversion With Just Nearest Neighbors
  114. Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers
  115. SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
  116. MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction
  117. Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
  118. Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
  119. Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
  120. Intrinsic shape analysis in archaeology: A case study on ancient sundials
  121. Wave to Syntax: Probing spoken language models for syntax
  122. Towards Machine Learning and Inference for Resource-constrained MCUs
  123. Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
  124. Subequivariant Graph Reinforcement Learning in 3D Environments
  125. Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer
  126. A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss Function
  127. Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates
  128. DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification
  129. A Multilingual Evaluation of NER Robustness to Adversarial Inputs
  130. Clip21: Error Feedback for Gradient Clipping
  131. Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
  132. Investigating model performance in language identification: beyond simple error statistics
  133. Bottom-Up Grounding in the Probabilistic Logic Programming System Fusemate
  134. Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases
  135. Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
  136. Multitask learning for recognizing stress and depression in social media
  137. atTRACTive: Semi-automatic white matter tract segmentation using active learning
  138. Policy Optimization for Continuous Reinforcement Learning
  139. One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
  140. Learning Off-Road Terrain Traversability with Self-Supervisions Only
  141. Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
  142. EmotionGesture: Audio-Driven Diverse Emotional Co-Speech 3D Gesture Generation
  143. Sensitivity of Slot-Based Object-Centric Models to their Number of Slots
  144. A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning
  145. How Does Information Bottleneck Help Deep Learning?
  146. Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
  147. Research on Multilingual News Clustering Based on Cross-Language Word Embeddings
  148. BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction
  149. Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility
  150. Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
  151. Stochastic Gradient Langevin Dynamics Based on Quantization with Increasing Resolution
  152. Large-scale Ridesharing DARP Instances Based on Real Travel Demand
  153. A Federated Channel Modeling System using Generative Neural Networks
  154. STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions
  155. Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
  156. How Generative Models Improve LOS Estimation in 6G Non-Terrestrial Networks
  157. Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
  158. Learning Perturbations to Explain Time Series Predictions
  159. Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
  160. ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction
  161. Convolutional Monge Mapping Normalization for learning on sleep data
  162. Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
  163. UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
  164. Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator
  165. Robust Reinforcement Learning Objectives for Sequential Recommender Systems
  166. Shapley Based Residual Decomposition for Instance Analysis
  167. PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series
  168. Scene restoration from scaffold occlusion using deep learning-based methods
  169. CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network
  170. Prediction Error-based Classification for Class-Incremental Learning
  171. Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
  172. AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies
  173. Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space
  174. The Alternating-Time μ-Calculus With Disjunctive Explicit Strategies
  175. Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching
  176. Universality and Limitations of Prompt Tuning
  177. Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
  178. VVC Extension Scheme for Object Detection Using Contrast Reduction
  179. Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
  180. It begins with a boundary: A geometric view on probabilistically robust learning
  181. Adaptive Conditional Quantile Neural Processes
  182. Bayesian Decision Trees Inspired from Evolutionary Algorithms
  183. SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size
  184. DualVAE: Controlling Colours of Generated and Real Images
  185. When Does Optimizing a Proper Loss Yield Calibration?
  186. Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
  187. Shuo Wen Jie Zi: Rethinking Dictionaries and Glyphs for Chinese Language Pre-training
  188. Task-Equivariant Graph Few-shot Learning
  189. VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions
  190. Dimensionality Reduction for General KDE Mode Finding
  191. Adapting Multi-Lingual ASR Models for Handling Multiple Talkers
  192. Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training
  193. Grokking of Hierarchical Structure in Vanilla Transformers
  194. Phase Correction using Deep Learning for Satellite-to-Ground CV-QKD
  195. LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts
  196. Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition
  197. Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
  198. Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
  199. Plug-in Performative Optimization
  200. An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts
  201. AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning
  202. Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer
  203. LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding
  204. Graph Neural Processes for Spatio-Temporal Extrapolation
  205. Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection
  206. Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
  207. High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action Recognition
  208. Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning
  209. HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder
  210. Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
  211. Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
  212. Optimizing Attention and Cognitive Control Costs Using Temporally-Layered Architectures
  213. Predicting Rare Events by Shrinking Towards Proportional Odds
  214. Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
  215. NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
  216. Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting
  217. ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
  218. Efficient median of means estimator
  219. Improving Deep Representation Learning via Auxiliary Learnable Target Coding
  220. KEYword based Sampling (KEYS) for Large Language Models
  221. History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion
  222. Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
  223. Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation
  224. BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
  225. E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks
  226. Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
  227. Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing